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	Provedor de dados Anais da ABC (AABC) (5) AgEcon (2) ArchiMer (1) Autor CORDEIRO,GAUSS M. (4) BARRETO-SOUZA,WAGNER (1) BOURGUIGNON,MARCELO (1) CRIBARI-NETO,FRANCISCO (1) Cappellari, Lorenzo (1) Guan, Zhengfei (1) Jenkins, Stephen P. (1) Kumbhakar, Subal C. (1) LEMONTE,ARTUR J. (1) LIMA,STÊNIO R. (1) MARINHO,PEDRO R.D. (1) Oude Lansink, Alfons G.J.M. (1) POGÁNY,TIBOR K. (1) SANTOS,JÉSSICA (1) SILVA,RODRIGO B. (1) TAHIR,MUHAMMAD H. (1) Temkin, Ilya (1) ZUBAIR,MUHAMMAD (1) Mais... Palavra-chave Maximum likelihood estimation (8) Agricultural production (1) Capital requirement (1) DNA sequence data (1) Data sets (1) Endogeneity (1) Evolutionary trees (1) Excess capital (1) Exponential distribution (1) Exponentiated generalize (1) Failure rate function (1) Fixed effect (1) GHK (1) Generalized class (1) Generating function (1) Geometric distribution (1) Inferring phylogenies (1) Inflated distribution (1) Kumaraswamy distribution (1) Lenght difference test (1) Mais... Tipo do documento Info:eu-repo/semantics/article (5) Conference Paper or Presentation (1) Journal Article (1) Text (1) Ano 2019 (3) 2017 (1) 2013 (1) 2010 (1) 2007 (1) 2003 (1) Mais... País Brazil (5) United States (2) France (1) Idioma Inglês (8)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 8 Primeira ... 1 ... Última Molecular phylogeny of pearl oysters and their relatives (Mollusca, Bivalvia, Pterioidea) ArchiMer Temkin, Ilya. Background: The superfamily Pterioidea is a morphologically and ecologically diverse lineage of epifaunal marine bivalves distributed throughout the tropical and subtropical continental shelf regions. This group includes commercially important pearl culture species and model organisms used for medical studies of biomineralization. Recent morphological treatment of selected pterioideans and molecular phylogenetic analyses of higher-level relationships in Bivalvia have challenged the traditional view that pterioidean families are monophyletic. This issue is examined here in light of molecular data sets composed of DNA sequences for nuclear and mitochondrial loci, and a published character data set of anatomical and shell morphological characters. Results:... Tipo: Text Palavras-chave: DNA sequence data; Maximum likelihood estimation; Lenght difference test; Subunit ribosomal RNA; Evolutionary trees; Data sets; Inferring phylogenies; Secondary structure; Substitution rates; Parsimony nalysis. Ano: 2010 URL: https://archimer.ifremer.fr/doc/00206/31686/30106.pdf Multivariate probit regression using simulated maximum likelihood AgEcon Cappellari, Lorenzo; Jenkins, Stephen P.. We discuss the application of the GHK simulation method for maximum likelihood estimation of the multivariate probit regression model and describe and illustrate a Stata program mvprobit for this purpose. Tipo: Journal Article Palavras-chave: Maximum likelihood estimation; Multivariate probit regression model; GHK; Mvprobit; Mvppred; Research Methods/ Statistical Methods. Ano: 2003 URL: http://purl.umn.edu/116115 Excess Capital in Agricultural Production AgEcon Kumbhakar, Subal C.; Guan, Zhengfei; Oude Lansink, Alfons G.J.M.. In this article we propose a theoretical model for analyzing capital requirement in agricultural production and define excess capital thereupon. We develop a two-step method that allows endogenous regressors in the maximum likelihood estimation. The two-step procedure is also capably of recovering the parameters of time invariant variables in fixed effect models. The model and method are applied to a capital requirement study using data from cash crop farms in the Netherlands. Empirical results show that excess capital widely exists on the farm. The implications of excess capital are further demonstrated with a production frontier analysis. Tipo: Conference Paper or Presentation Palavras-chave: Agricultural production; Capital requirement; Endogeneity; Excess capital; Fixed effect; Maximum likelihood estimation; Stochastic frontier; Production Economics. Ano: 2007 URL: http://purl.umn.edu/9813 The Extended Log-Logistic Distribution: Properties and Application Anais da ABC (AABC) LIMA,STÊNIO R.; CORDEIRO,GAUSS M.. Abstract We propose a new four-parameter lifetime model, called the extended log-logistic distribution, to generalize the two-parameter log-logistic model. The new model is quite flexible to analyze positive data. We provide some mathematical properties including explicit expressions for the ordinary and incomplete moments, probability weighted moments, mean deviations, quantile function and entropy measure. The estimation of the model parameters is performed by maximum likelihood using the BFGS algorithm. The flexibility of the new model is illustrated by means of an application to a real data set. We hope that the new distribution will serve as an alternative model to other useful distributions for modeling positive real data in many areas. Tipo: Info:eu-repo/semantics/article Palavras-chave: Exponentiated generalize; Generating function; Log-logistic distribution; Maximum likelihood estimation; Momen. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000100003 A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap Anais da ABC (AABC) MARINHO,PEDRO R.D.; BOURGUIGNON,MARCELO; SILVA,RODRIGO B.; CORDEIRO,GAUSS M.. Abstract: In this paper, we introduce a new three-parameter distribution by compounding the Nadarajah-Haghighi and geometric distributions, which can be interpreted as a truncated Marshall-Olkin extended Weibull. The compounding procedure is based on the work by Marshall and Olkin 1997. We prove that the new distribution can be obtained as a compound model with mixing exponential distribution. It can have decreasing, increasing, upside-down bathtub, bathtub-shaped, constant and decreasing-increasing-decreasing failure rate functions depending on the values of the parameters. Some mathematical properties of the new distribution are studied including moments and quantile function. The maximum likelihood estimation procedure is discussed and a particle swarm... Tipo: Info:eu-repo/semantics/article Palavras-chave: Exponential distribution; Failure rate function; Geometric distribution; Maximum likelihood estimation; Nadarajah-Haghighi distribution.. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100202 Inflated Kumaraswamy distributions Anais da ABC (AABC) CRIBARI-NETO,FRANCISCO; SANTOS,JÉSSICA. Abstract: The Kumaraswamy distribution is useful for modeling variables whose support is the standard unit interval, i.e., (0, 1). It is not uncommon, however, for the data to contain zeros and/or ones. When that happens, the interest shifts to modeling variables that assume values in [0, 1), (0, 1] or [0, 1]. Our goal in this paper is to introduce inflated Kumaraswamy distributions that can be used to that end. We consider inflation at one of the extremes of the standard unit interval and also the more challenging case in which inflation takes place at both interval endpoints. We introduce inflated Kumaraswamy distributions, discuss their main properties, show how to estimate their parameters (point and interval estimation) and explain how testing... Tipo: Info:eu-repo/semantics/article Palavras-chave: Inflated distribution; Kumaraswamy distribution; Likelihood ratio test; Maximum likelihood estimation; Score test; Wald test. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000300201 The Log-Odd Normal Generalized Family of Distributions with Application Anais da ABC (AABC) ZUBAIR,MUHAMMAD; POGÁNY,TIBOR K.; CORDEIRO,GAUSS M.; TAHIR,MUHAMMAD H.. Abstract: The normal distribution has a central place in distribution theory and statistics. We propose the log-odd normal generalized (LONG) family of distributions based on log-odds and obtain some of its mathematical properties including a useful linear representation for the new family. We investigate, as a special model, the log-odd normal power-Cauchy (LONPC) distribution. Some structural properties of LONPC distribution are obtained including quantile function, ordinary and incomplete moments, generating function and some asymptotics. We estimate the model parameters using the maximum likelihood method. The usefulness of the proposed family is proved empirically by means of a real air pollution data set. Tipo: Info:eu-repo/semantics/article Palavras-chave: Generalized class; Maximum likelihood estimation; Normal distribution; Power-Cauchy distribution; Shannon entropy. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000300203 General results for the Marshall and Olkin's family of distributions Anais da ABC (AABC) BARRETO-SOUZA,WAGNER; LEMONTE,ARTUR J.; CORDEIRO,GAUSS M.. Abstract Marshall and Olkin (1997) introduced an interesting method of adding a parameter to a well-established distribution. However, they did not investigate general mathematical properties of their family of distributions. We provide for this family of distributions general expansions for the density function, explicit expressions for the moments and moments of the order statistics. Several especial models are investigated. We discuss estimation of the model parameters. An application to a real data set is presented for illustrative purposes. Tipo: Info:eu-repo/semantics/article Palavras-chave: Marshall-Olkin extended distribution; Maximum likelihood estimation; Monte Carlo simulation; Rényi entropy. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652013000100003 Registros recuperados: 8 Primeira ... 1 ... Última

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